AI is a step change in our ability to draw insights from data. New technologies enable new ways of doing things: this document outlines powerful new paradigms that AI enables in different biological applications.

Molecular Biology

1. Scaling up: AI enables us to scale up the complexity of datasets with the confidence that we can extract more insights.
   • Examples
2. Multi-modality: AI enables integration of orthogonal datasets to derive relationships.
   • Examples
3. Transfer Learning: pre-training models on more widely available data aids insights + predictions of more expensive data
   • Examples

Digital Medicine

1. AI enables better noise reduction and higher image quality from less resource-intensive imaging methods.
   • Examples